Paper: Multi-Source Transfer of Delexicalized Dependency Parsers

ACL ID D11-1006
Title Multi-Source Transfer of Delexicalized Dependency Parsers
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011

We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demon- strate that delexicalized parsers can be di- rectly transferred between languages, produc- ing significantly higher accuracies than unsu- pervised parsers. We then use a constraint driven learning algorithm where constraints are drawn from parallel corpora to project the final parser. Unlike previous work on project- ing syntactic resources, we show that simple methods for introducing multiple source lan- guages can significantly improve the overall quality of the resulting parsers. The projected parsers from our system result in state-of-the- art performance when compared to previously studied unsupervised and pr...